Relax the torch version dependency

[fabiendupont]

The PyTorch project has released the patch version 2.3.1 with a number of fixes. This change relaxes the version in the requirements files for build and CUDA, in order to allow picking fixes, while not bumping to the next minor version.

[openshift-ci]

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[openshift-ci]

Hi @fabiendupont. Thanks for your PR.

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[dtrifiro]

torch==2.3.0 is also a build dependency in `pyproject.toml

[fabiendupont]

torch==2.3.0 is also a build dependency in `pyproject.toml

Thanks. Commit amended.

[dtrifiro]

@fabiendupont this looks good but would you mind applying the same changes to requirements-cpu.txt? thanks

[fabiendupont]

@dtrifiro, done. Sorry for the delay.

[dtrifiro]

This looks broken:

 error in vllm setup command: 'install_requires' must be a string or list of strings containing valid project/version requirement specifiers; Local version label can only be used with `==` or `!=` operators
      torch >= 2.3.1+cpu, <2.4.0+cpu; platform_machine != "ppc64le"
            ~~~~~~~~^
  error: subprocess-exited-with-error

You can test this with env VLLM_CPU_DISABLE_AVX512=true VLLM_TARGET_DEVICE=cpu PIP_EXTRA_INDEX_URL=https://download.pytorch.org/whl/cpu pip install -e . -v

I think it's enough to specify two torch lines:

Suggested change

	torch >= 2.3.1+cpu, <2.4.0+cpu; platform_machine != "ppc64le"
	torch >= 2.3.1+cpu; platform_machine != "ppc64le"
	torch < 2.4.0+cpu; platform_machine != "ppc64le"

[openshift-merge-robot]

PR needs rebase.

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[dtrifiro]

Torch is now set at 2.4.0, so this is not needed anymore.